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Improved Free-Weighting Matrix Approach for Stability Analysis of Discrete-Time Recurrent Neural Networks With Time-Varying Delay

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5 Author(s)
Min Wu ; Sch. of Inf. Sci. & Eng., Central South Univ., Changsha ; Fang Liu ; Peng Shi ; Yong He
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This paper deals with the problem of exponential stability for a class of discrete-time recurrent neural networks with time-varying delay by employing an improved free-weighting matrix approach. The relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, a new and less conservative delay-dependent stability criterion is obtained without ignoring any useful terms on the difference of a Lyapunov function, which is expressed in terms of linear matrix inequalities. Finally, numerical examples are given to demonstrate the effectiveness of the proposed techniques.

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IEEE Transactions on Circuits and Systems II: Express Briefs  (Volume:55 ,  Issue: 7 )